Noman Baig

- Led end-to-end development of web applications across multiple products, owning the full lifecycle from architecture decisions to production deployment - Architected scalable and secure cloud infrastructure to support reliable, cost-efficient deployments for early-stage products - Bridged the gap between business and engineering by translating founder requirements and stakeholder needs into clear technical specifications and actionable development roadmaps - Partnered directly with founders to define product strategy, prioritize features, and align engineering efforts with business goals

Real Estate Lead Management, Sales CRM & Automation Platform • Sole architect and developer across two products for the same company - owned end-to-end design, implementation, infrastructure, and production reliability using distributed architectural design patterns. • Built a complex, priority-based call routing engine using Twilio Programmable Voice to automatically connect inbound leads to agents based on configurable rules, geographic proximity, and real-time availability - directly increasing lead conversion rates. • Designed and implemented a multi-step automation engine (BullMQ + Redis queues + Node-Cron) for follow-up sequences across calls, SMS, and email with timezone-aware scheduling. • Architected the complete AWS cloud infrastructure using AWS CLI: EC2 with Nginx/PM2, Application Load Balancer, CloudFront CDN, Elastic Beanstalk, Lambda for event-driven tasks, S3 for asset storage, and AWS SES for transactional email. • Built a multi-tenant system with role-based permissions, subclient-aware data isolation, activity-based invoicing, and operational reporting dashboards by applying systems analysis and design and OOAD principles. • Developed backend services and REST APIs for sales pipeline tracking and lead management (SuperSell), with CI/CD using AWS CodePipeline and query optimization across MongoDB and MySQL. • Implemented real-time React + Redux dashboards giving agents and managers live visibility into lead pipelines, call statuses, conversion metrics, and team KPIs. • Integrated AWS ElastiCache (Redis) for session caching and queue management, reducing average API response times by 40%+ under high-concurrency loads. • Maintained 99.9% uptime using CloudWatch alarms, structured logging, and blue/green deployments on Elastic Beanstalk.

As a Full Stack Developer at Research Collab, I developed responsive UIs with Next.js, built backend services using Express and Supabase, and created custom Chrome extensions to streamline research workflows. I handled end-to-end feature development, integrated RESTful APIs, and ensured performance, security, and maintainability across the stack.

-Developed and shipped core features for an LMS/CMS platform with dynamic content personalization, improving user engagement and retention -Boosted React application speed by 40% using code-splitting, lazy loading, and memoization strategies -Collaborated with backend and data teams to build a content recommendation engine for personalized educational delivery -Ensured seamless cross-device experience with responsive layouts and cross-browser compatibility using Tailwind CSS and CSS3 -Contributed to scalable, cloud-based architecture using AWS services and microservices best practices

-Engineered full-stack solutions to enhance platform functionality and improve user experience -Collaborated closely with product and design teams to implement new features and refine existing systems -Contributed to backend development and API integrations, delivering scalable and reliable system architecture

• Built an AI-native platform enabling researchers to collaboratively write, edit, and structure research papers in shared workspaces - with real-time collaboration features including concurrent document editing, inline comments, and workspace management. • Integrated multiple LLM providers (OpenAI + Google Gemini) into a unified AI layer for research paper writing assistance, summarization, content generation, and context-aware suggestions - with provider switching based on task type. • Implemented Google Scholar integration for in-platform research paper discovery, allowing users to pull references and source material directly into their writing workflow. • Performed systems analysis and design to develop scalable REST APIs for documents, AI processing, research discovery, and user/workspace management; used Supabase (PostgreSQL + Auth + real-time) for the data and collaboration layer. • Built dynamic React + TypeScript interfaces optimized for long-form content editing, async AI response streaming, and multi-user collaborative sessions. • Initially deployed on Railway, then migrated hosting to AWS Amplify for improved CI/CD integration, scalability, and frontend delivery performance.

-Engineered WhatsApp Business API gateway handling 100k+ messages/month with 99.9% uptime -Designed and implemented MongoDB sharding cluster to support 10X user growth -Automated 15+ business workflows through Slack and Zapier API integrations -Built and tested RESTful APIs, improving data retrieval speed by 20%

• Delivered end-to-end features across a modular, API-first WhatsApp messaging platform - from React dashboard UI through Node.js/TypeScript backend services to data layer. • Built NLP-driven AI reply suggestion systems, bot automation workflows, broadcast campaign tools, and multi-agent live chat interfaces. • Worked across PostgreSQL (TypeORM) and MongoDB data layers, respecting OpenAPI contracts and type safety across distributed services. • Collaborated with senior engineers on production-grade distributed architecture, code reviews, and scalability best practices.

Property & Office Booking Management Platform • Built an AI-powered admin dashboard enabling property managers to oversee and manage property bookings, office reservations, and operational workflows from a centralized control panel. • Integrated AI capabilities into the dashboard to assist admins with insights, automated status updates, and intelligent booking recommendations across properties and offices. • Developed customer-facing booking flows covering property browsing, availability checks, reservation management, pricing rules, and multi-step confirmation - similar to Airbnb in architecture. • Built the LS Engine logic layer handling booking validation, workflow automation, dynamic pricing conditions, and status lifecycle management (reservation → payment → confirmation). • Developed Node.js/TypeScript backend APIs and React frontend components for listing management, booking tracking, and internal reporting tools used by operations teams.